Description: 基于核的FCM，可以用于聚类或者图像分割，但运行速度不是很快 自己不知道如何优化-Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize Platform: |
Size: 1024 |
Author:盛春冬 |
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Description: Magnetic resonance (MR) images can be used to detect lesions in the brains of multiple sclerosis (MS)
patients and is essential for diagnosing the disease and monitoring its progression. An automatic method is
presented for segmentation of MS lesions in multispectral MR images. Firstly a PD-w image is subtracted its
corresponding T1-w image to get an image in which the cerebral spinal fluid (CSF) is enhanced. Then based on
kernel fuzzy c-means (KFCM) algorithm, the enhanced image and the corresponding T2-w image are segmented
respectively to extract the CSF region and the CSF combining MS lesions region. A raw MS lesions image is
obtained by subtracting the CSF region CSF combining MS region. By applying median filter and
thresholding to the raw image, the MS lesions are detected finally. Results are quantitatively uated on
BrainWeb images using Dice similarity coefficient (DSC). Finally, the potential of the method as well as its
limitations are discussed.-Magnetic resonance (MR) images can be used to detect lesions in the brains of multiple sclerosis (MS)
patients and is essential for diagnosing the disease and monitoring its progression. An automatic method is
presented for segmentation of MS lesions in multispectral MR images. Firstly a PD-w image is subtracted its
corresponding T1-w image to get an image in which the cerebral spinal fluid (CSF) is enhanced. Then based on
kernel fuzzy c-means (KFCM) algorithm, the enhanced image and the corresponding T2-w image are segmented
respectively to extract the CSF region and the CSF combining MS lesions region. A raw MS lesions image is
obtained by subtracting the CSF region CSF combining MS region. By applying median filter and
thresholding to the raw image, the MS lesions are detected finally. Results are quantitatively uated on
BrainWeb images using Dice similarity coefficient (DSC). Finally, the potential of the method as well as its
limitations are discussed. Platform: |
Size: 2048 |
Author:mahsy |
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Description: 基于核函数的FCM算法在医学图像分割上的应用(The application of FCM algorithm based on kernel function in medical image segmentation) Platform: |
Size: 201728 |
Author:堕落少年派
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Search - kfcm based image segmentation